(1)Chemogenomics Database for Drug Abuse & Neuro-disorders: Genes, protein targets, pathways involved in a disease and small molecules that can directly interact with these key proteins with the potential to modulate the disease.

(2)TargetHunerMap: To predict the potential protein target(s) of a small molecule drug or a chemical compound through structure similarity or molecular docking.

(3)BBB prediction: To predict the blood-brain barrier (BBB) permeability of a small molecule based on its chemical features.

Using quantitative live-cell fluorescence microscopy (Sorkin lab; U PITT) and molecular modeling (Bahar lab), they investigated the effects of the DAT inhibitor cocaine and its fluorescent analog JHC1-64 on the plasma membrane distribution of wild-type DAT and two DAT mutants. Read more

Core C proposes a new approach, Linear Regression with Validated Association (LRVA) that discovers variants by utilizing the knowledge of known associations, making the variants with weaker signals easier to be identified. They have applied their method to Drug Abuse Disorders data set collected from CEDAR provided to them by Dr. Michael Vanyukov (PI of a FRP), and discovered nearly two dozen novel SNPs associated with drug abuse disorders. Literature search suggests that many of these SNPs reside in genes previously known to be involved with substance abuse. Read more